Experiences & Skills:

Capable of translating business use cases into analytical problems and identifying appropriate data sources to tackle these problems.
Diploma/Degree in Computer Engineering / Computer Science or Information Technology
Proficient in writing scripts for data preparation and analysis, using modern analysis tools & programming methodologies.
Proficient cleaning, imputing and correcting anomalies in the collected structured or unstructured data to ensure a high standard of quality in data sets to be used in the analysis work.
Proficient in exploring and analysing datasets, applying probability and statistical methodologies and techniques to discover insights from the data.
Proficient in building machine learning models to identify, recognise patterns and make predictions.
Proficient in design principles and use of visualisations to best convey the intended information
Capable of developing data visualisation from standalone graphs and charts on to highly customised tools and apps while tightly integrated to the data systems for real time visualisation of information.
Capable of translating results from analysis work into actionable recommendations for stakeholders.
Capable of communicating results from analysis work in a coherent data story for stakeholders.
Experience in model deployment.
Experience in stakeholder management.
Experience in agile project management.

Responsibility:

Facilitate discussions with stakeholders to understand their business challenges, sharpen the business use cases and translate them into data science projects
Perform data cleaning, pre-processing, feature engineering, and build data science models to address the use case
Present findings, solicit feedback and prioritise refinements to the analysis in close iteration with stakeholders while managing overall project timeline
Communicate the data insights in a clear and compelling narrative, supported with impactful visuals, to influence key decision makers
Depending on the use case, design of dashboards and interactive visualisations as tools for data exploration and storytelling may be expected

K08 Data Scientist